SEAN: Image Synthesis With Semantic Region-Adaptive Normalization
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization
We propose semantic region-adaptive normalization (SEAN), a simple but effective building block for Generative Adversarial Networks conditioned on segmentation masks that describe the semantic regions in the desired output image. Using SEAN normalization, we can build a network architecture that can control the style of each semantic region individually, e.g., …